Unsupervised Log Anomaly Detection Method Based on Multi-Feature
Shiming He, Tuo Deng, Bowen Chen, R. Simon Sherratt, Jin Wang
2023Computers, materials & continua/Computers, materials & continua (Print)11 citationsDOIOpen Access PDF
Abstract
Log anomaly detection is an important paradigm for system troubleshooting. Existing log anomaly detection based on Long Short-Term Memory (LSTM) networks is time-consuming to handle long sequences. Transformer model is introd... | Find, read and cite all the research you need on Tech Science Press
Topics & Concepts
Anomaly detectionComputer sciencePattern recognition (psychology)Artificial intelligenceAutoencoderFeature (linguistics)Data miningDeep learningLinguisticsPhilosophySoftware System Performance and ReliabilityNetwork Security and Intrusion DetectionAnomaly Detection Techniques and Applications